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Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Publications associées (38)

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Satisfiability of Elastic Demand in the Smart Grid

Jean-Yves Le Boudec, Dan-Cristian Tomozei

We study a stochastic model of electricity production and consumption where appliances are adaptive and adjust their consumption to the available production, by delaying their demand and possibly using batteries. The model incorporates production volatilit ...

2010

Demand Driven Employee Scheduling for Retail Outlets

Colin Neil Jones

This paper studies the problem of demand driven employee scheduling for direct-sales retail outlets. The demand for sales personnel during each half hour is predicted a week in advance based on previous recorded data and the problem of computing an optimal ...

2009

Pervasive Computing with Frugal Objects

Rachid Guerraoui, Maxime Monod, Benoît Garbinato, Jesper Honig Spring

This paper presents a computing model for resource-limited mobile devices that might be ubiquitously deployed in private and business environments. The model integrates a strongly-typed event-based communication paradigm with abstractions for frugal contro ...

2007

Pervasive Computing with Frugal Objects

Rachid Guerraoui, Maxime Monod, Benoît Garbinato, Jesper Honig Spring

2007

Disassembly scheduling

Hwa-Joong Kim

This dissertation focuses on disassembly scheduling, which is the problem of determining the quantity and timing of disassembling used or end-of-life products while satisfying the demand of their parts/components over a given planning horizon. The objectiv ...

EPFL2005

A Delay Bound for a Network with Aggregate Scheduling

Jean-Yves Le Boudec, Félix Farkas

Given the increasing demand for services that can guarantee a maximum end-to-end delay in the Internet, it is important to understand the behaviour of different existing networks. We consider networks that implement scheduling per aggregate flow. We give a ...

2000

An evolutionary heuristic for quadratic 0-1 programming

Thomas Liebling, Kim Alexandre Allemand

In this paper we present a heuristic algorithm for the well- known Unconstrained Quadratic 0–1 Programming Problem. The approach is based on combining solutions in a genetic paradigm and incorporates intensification algorithms used to improve solutions and ...

1999

Topical problems in power transfer and distribution networks in relation to modern means of communication

Having regard to the increasing demand for electric energy in Western Europe, the paper discusses growing problems on the supply side in connection with increasing costs and protection of the environment, whilst new lines have to be built in a complex syst ...

1972